Borrowing it
Nothing to install: this file belongs to shashikirandevadiga/apply-pilot. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/shashikirandevadiga/apply-pilot/main/.claude/commands/apply.mdgit clone --depth 1 https://github.com/shashikirandevadiga/apply-pilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/shashikirandevadiga/apply-pilot/apply)<a href="https://agentmods.dev/commands/shashikirandevadiga/apply-pilot/apply"><img src="https://agentmods.dev/badge/commands/shashikirandevadiga/apply-pilot/apply/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/shashikirandevadiga/apply-pilot/apply"><img src="https://agentmods.dev/badge/commands/shashikirandevadiga/apply-pilot/apply.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.05787 |
| Opus 5.5 | $0.00000 | $0.02315 |
| Sonnet 5.5 | $0.00000 | $0.01157 |
| Haiku 4.5 | $0.00000 | $0.00579 |
Grade A, and why
apply scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 734 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/apply - Agent-First Application Package Generator
Generate complete job application package using agent-based architecture with mandatory verification gates.
What This Command Does
HYBRID Architecture: Interactive command (collects user input) + Application Orchestrator Agent (autonomous execution).
Generates:
- Strategic JD assessment (fit scoring, competency alignment, spinning recommendations)
- Tailored resume (bullets per USER_PROFILE.md distribution, 240-260 chars each)
- Cover letter (8-12 lines, 150-200 words, Template 1 Minimalist)
- Outreach strategy (Track G OR Tracks A-F with 3-tier escalation)
All files DOCX-converted (Resume.docx, Coverletter.docx) after verification passes.
Workflow Overview
User invokes /apply
↓
Command asks clarification questions (PHASE 0)
↓
Command spawns Application Orchestrator Agent (passes all context)
↓
Orchestrator spawns creator/verifier agents sequentially
↓
Each agent creates → verifies → proceeds (or retries once)
↓
Command receives final report from orchestrator
↓
Command presents results to user
PHASE 0: Clarification Questions (Bundled - Single Prompt)
You are Claude, running this command interactively. Ask ALL questions at once in a single prompt BEFORE spawning orchestrator agent.
Present this to the user:
"I'll help you generate a complete application package. Please provide the following information:
1. Job Source - Where did you find this job?
- Newsletter (Lenny's, Reforge, etc.)
- LinkedIn Post
- LinkedIn Group
- Networking Event
- Job Board / Company Website
2. Referral Status - Do you have family/close referrals at this company?
- YES → I'll skip outreach creation (saves ~60 min)
- NO → I'll create 6-track outreach strategy
3. Cover Letter Required? - Does the job posting require a cover letter?
- YES → I'll create a tailored cover letter
- NO → I'll skip cover letter creation (saves ~30 min + tokens)
- UNSURE → I'll create one anyway (better to have it)
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 734 lines · 0 tokens per session scan A 05790d43b691
apply is a command published in the GitHub repository shashikirandevadiga/apply-pilot (5 stars, last pushed 9mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 5,787 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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publish-api-docs
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write-patent
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